Remote Lead AI Security Engineer – Enterprise & Cloud

Clear Point Consultants; United States; Remote; USD 180,000 - 260,000; Full time

Job summary

Clear Point Consultants is seeking an experienced AI Security Lead Engineer to establish an enterprise AI security framework and lead security initiatives across the organization. You will own hands-on security for AI/ML environments and collaborate with software development, cloud engineering, and governance teams.

The role emphasizes technical ownership, practical guardrails, and secure adoption of AI technologies, with strong focus on securing LLMs, data pipelines, and API security within a

Qualifications

• 8+ years in cybersecurity, application or cloud security.
• 2+ years hands-on AI/ML, Generative AI, LLMs security.
• Hands-on with AWS cloud environments; AWS Bedrock a plus.
• Strong software security and DevSecOps background.
• Knowledge of IAM, API security, data protection and encryption.
• Experience with security automation and IaC.
• Ability to translate security requirements to engineering solutions.
• Excellent cross-team communication.

Responsibilities

• Design and establish an enterprise AI security framework with standards and guardrails.
• Assess AI/ML apps, LLMs, data pipelines for vulnerabilities.
• Partner with software teams to embed security into AI development.
• Mitigate AI security threats like prompt injection and data exposure.
• Translate regulatory requirements into technical controls.
• Develop reusable security patterns for AI adoption.
• Lead AI security initiatives and act as SME across the org.

Skills

Cybersecurity

Application Security

Cloud Security

Security Engineering

AI/ML Security

AWS

IAM

DevSecOps

Threat Modeling

Security Automation

Tools

AWS Bedrock

SageMaker

Terraform

DevOps Tools

Job description

Clear Point Consultants is seeking an experienced AI Security Lead Engineer to establish an enterprise AI security framework and lead security initiatives across the organization. You will own hands-on security for AI/ML environments and collaborate with software development, cloud engineering, and governance teams.

The role emphasizes technical ownership, practical guardrails, and secure adoption of AI technologies, with strong focus on securing LLMs, data pipelines, and API security within a